Bent K. Jakobsen

11.4k total citations
98 papers, 6.0k citations indexed

About

Bent K. Jakobsen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Bent K. Jakobsen has authored 98 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Immunology, 50 papers in Oncology and 19 papers in Molecular Biology. Recurrent topics in Bent K. Jakobsen's work include Immunotherapy and Immune Responses (51 papers), CAR-T cell therapy research (49 papers) and Immune Cell Function and Interaction (48 papers). Bent K. Jakobsen is often cited by papers focused on Immunotherapy and Immune Responses (51 papers), CAR-T cell therapy research (49 papers) and Immune Cell Function and Interaction (48 papers). Bent K. Jakobsen collaborates with scholars based in United Kingdom, United States and Denmark. Bent K. Jakobsen's co-authors include George F. Gao, John I. Bell, Hugh R.B. Pelham, Jonathan M. Boulter, Jessica R. Wyer, Andrew K. Sewell, E. Yvonne Jones, Benjamin E. Willcox, David I. Stuart and Andrew J. McMichael and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Bent K. Jakobsen

97 papers receiving 5.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bent K. Jakobsen United Kingdom 43 4.4k 2.3k 1.7k 944 476 98 6.0k
Stephen P. Schoenberger United States 45 10.1k 2.3× 3.4k 1.5× 3.0k 1.8× 569 0.6× 686 1.4× 118 12.2k
David H. Margulies United States 54 6.9k 1.6× 1.0k 0.4× 2.9k 1.7× 1.8k 2.0× 560 1.2× 179 9.4k
Michelle Krogsgaard United States 30 2.7k 0.6× 1.3k 0.6× 845 0.5× 677 0.7× 233 0.5× 65 3.9k
Hans-Georg Rammensee Germany 29 2.7k 0.6× 813 0.3× 1.9k 1.1× 607 0.6× 241 0.5× 50 4.0k
Immanuel F. Luescher Switzerland 42 6.1k 1.4× 2.9k 1.2× 1.8k 1.1× 735 0.8× 260 0.5× 132 7.2k
Frank Momburg Germany 56 6.7k 1.5× 2.3k 1.0× 3.0k 1.8× 734 0.8× 717 1.5× 149 9.7k
Matthew F. Mescher United States 43 5.7k 1.3× 1.8k 0.8× 1.3k 0.8× 418 0.4× 358 0.8× 86 6.9k
Jean‐Pierre Abastado France 41 3.1k 0.7× 1.3k 0.6× 1.3k 0.8× 340 0.4× 226 0.5× 95 4.8k
Nils Lönberg United States 30 1.4k 0.3× 1.0k 0.4× 2.1k 1.3× 1.1k 1.2× 662 1.4× 48 3.9k
Matthias Wabl United States 41 3.0k 0.7× 420 0.2× 2.7k 1.6× 1.3k 1.3× 505 1.1× 127 5.6k

Countries citing papers authored by Bent K. Jakobsen

Since Specialization
Citations

This map shows the geographic impact of Bent K. Jakobsen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bent K. Jakobsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bent K. Jakobsen more than expected).

Fields of papers citing papers by Bent K. Jakobsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bent K. Jakobsen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bent K. Jakobsen. The network helps show where Bent K. Jakobsen may publish in the future.

Co-authorship network of co-authors of Bent K. Jakobsen

This figure shows the co-authorship network connecting the top 25 collaborators of Bent K. Jakobsen. A scholar is included among the top collaborators of Bent K. Jakobsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bent K. Jakobsen. Bent K. Jakobsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhou, Yuqi, Julie K. Jadlowsky, Alex W. Klattenhoff, et al.. (2023). Chimeric antigen receptors enable superior control of HIV replication by rapidly killing infected cells. PLoS Pathogens. 19(12). e1011853–e1011853. 6 indexed citations
2.
Yang, Hongli, Jakub Chojnacki, John Frater, et al.. (2017). Engineered affinity-enhanced immune-mobilising monoclonal T cell receptors (ImmTAVs) for HIV cure. HIV Medicine. 18. 7–7. 1 indexed citations
3.
4.
Middleton, Mark R., JEFF EVANS, Neil Steven, et al.. (2014). A Phase I study of IMCgp100: durable responses with a novel first-in-class immunotherapy for advanced melanoma. Cancer Research. 74. 1 indexed citations
5.
Middleton, Mark R., Jason V. Evans, Neil Steven, et al.. (2013). IMCgp100: a novel bispecific biologic for the treatment of malignant melanoma.. Cancer Research. 73. 2 indexed citations
6.
Madura, Florian, P.J. Rizkallah, Kim Miles, et al.. (2013). T-cell Receptor Specificity Maintained by Altered Thermodynamics. Journal of Biological Chemistry. 288(26). 18766–18775. 32 indexed citations
7.
Jakobsen, Bent K., et al.. (2013). ImmTACs. OncoImmunology. 2(2). e22891–e22891. 38 indexed citations
8.
Bossi, Giovanna, Andrew B. Gerry, Samantha Paston, et al.. (2013). Examining the presentation of tumor-associated antigens on peptide-pulsed T2 cells. OncoImmunology. 2(11). e26840–e26840. 41 indexed citations
9.
Sanderson, Joseph P., Salah Mansour, Nicholas J. Pumphrey, et al.. (2011). Natural variations at position 93 of the invariant Vα24‐Jα18 α chain of human iNKT‐cell TCRs strongly impact on CD1d binding. European Journal of Immunology. 42(1). 248–255. 10 indexed citations
10.
Liddy, Nathaniel, Peter Molloy, Alan Bennett, et al.. (2010). Production of a Soluble Disulfide Bond-Linked TCR in the Cytoplasm of Escherichia coli trxB gor Mutants. Molecular Biotechnology. 45(2). 140–149. 9 indexed citations
11.
Robbins, Paul F., Yong F. Li, Mona El‐Gamil, et al.. (2008). Single and Dual Amino Acid Substitutions in TCR CDRs Can Enhance Antigen-Specific T Cell Functions. The Journal of Immunology. 180(9). 6116–6131. 252 indexed citations
12.
Varela‐Rohena, Angel, Peter Molloy, Steven M. Dunn, et al.. (2008). Control of HIV-1 immune escape by CD8 T cells expressing enhanced T-cell receptor. Nature Medicine. 14(12). 1390–1395. 197 indexed citations
13.
Pumphrey, Nick, Annelise Vuidepot, Bent K. Jakobsen, et al.. (2007). Cutting Edge: Evidence of Direct TCR α-Chain Interaction with Superantigen. The Journal of Immunology. 179(5). 2700–2704. 20 indexed citations
14.
Cole, David K., Nicholas J. Pumphrey, Jonathan M. Boulter, et al.. (2007). Human TCR-Binding Affinity is Governed by MHC Class Restriction. The Journal of Immunology. 178(9). 5727–5734. 165 indexed citations
15.
Zhao, Yangbing, Alan Bennett, Zhili Zheng, et al.. (2007). High-Affinity TCRs Generated by Phage Display Provide CD4+ T Cells with the Ability to Recognize and Kill Tumor Cell Lines. The Journal of Immunology. 179(9). 5845–5854. 164 indexed citations
16.
Purbhoo, Marco A., Deborah H. Sutton, Joanna E. Brewer, et al.. (2006). Quantifying and Imaging NY-ESO-1/LAGE-1-Derived Epitopes on Tumor Cells Using High Affinity T Cell Receptors. The Journal of Immunology. 176(12). 7308–7316. 74 indexed citations
17.
Gadola, Stephan D., Michael Koch, Jon Marles‐Wright, et al.. (2006). Structure and binding kinetics of three different human CD1d–α-galactosylceramide–specific T cell receptors. The Journal of Experimental Medicine. 203(3). 699–710. 74 indexed citations
18.
Cole, David K., P.J. Rizkallah, Feng Gao, et al.. (2005). Crystal structure of HLA‐A*2402 complexed with a telomerase peptide. European Journal of Immunology. 36(1). 170–179. 34 indexed citations
19.
Choi, E, Ji‐Li Chen, Linda Wooldridge, et al.. (2003). High Avidity Antigen-Specific CTL Identified by CD8-Independent Tetramer Staining. The Journal of Immunology. 171(10). 5116–5123. 75 indexed citations
20.
O’Callaghan, Christopher A., Andrew J. McMichael, Charles D. Blundell, et al.. (1998). Production, crystallization, and preliminary X‐ray analysis of the human MHC class Ib molecule HLA‐E. Protein Science. 7(5). 1264–1266. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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